Intelligent medium access control (MAC) protocols have been a vital solution in enhancing
the performance of a variety of wireless networks. ALOHA, as the first MAC approach …

Among all Medium Access Control (MAC) protocols, Random Access Control protocols have
been widely studied for wireless networks due to their low cost and easy implementation. A …

This paper presents a distributed Reinforcement Learning (RL) framework for synthesizing
wireless network protocols in IoT and Wireless Sensor Networks with low-complexity …

In this paper, an ALOHA based Medium Access Control (MAC) protocol (RL-ALOHA with
Informed Receiving) is proposed for multi-hop Wireless Sensor Networks (WSNs), which …

The Internet of Things (IoT) aims to connect billions of devices, most of which are power and
memory-constrained. Such constraints require efficient network access.“Irregular Repetition …

This paper presents a novel approach to medium access control for single-hop wireless
sensor networks. The ALOHA-Q protocol applies Q-Learning to frame based ALOHA as an …

In this letter, a Multi-Armed-Bandit (MAB) framework is proposed for maximizing the network
throughput of Framed Slotted Aloha (FSA). The throughput analysis shows that even with the …

Accommodating the needs of a large number of diverse users in the Internet of Things (IoT),
notably managing how the users access the common channel, has posed unique …

This paper studies the potential of a novel approach to ensure more efficient and intelligent
assignment of capacity through medium access control (MAC) in practical wireless sensor …

This paper proposes a distributed Reinforcement Learning (RL) based framework that can
be used for synthesizing MAC layer wireless protocols in IoT networks with low-complexity …